How to transcribe video to text with timestamp in Windows 10?

Getting accurate timestamps is a separate problem from recognizing the spoken words themselves. Aeneas is designed for this alignment stage: when a transcript is already available, it can match individual text fragments with the corresponding positions in the recording. This provides a way to transcribe video to text with timestamp when the main requirement is adding timing information to an existing transcript.

The text can be divided into sentences, phrases, or smaller fragments before alignment, and the resulting synchronization map can be saved in formats such as SRT, VTT, CSV, JSON, or TXT. For transcribe video to text with timestamp, this approach is particularly useful when the transcript already exists but needs accurate timing that follows the original speech.

Audio-Text Synchronization

Op. 1: Prepare an audio track from the video and an existing transcript. Save the transcript as text.txt, with the text divided into separate lines according to the sections you want to synchronize.

Op. 2: Place audio.mp3 and text.txt in the same working folder, then open Command Prompt in that folder.

Op. 3: Run the alignment command and set SRT as the output format:

python -m aeneas.tools.execute_task audio.mp3 text.txt "task_language=eng|is_text_type=plain|os_task_file_format=srt" output.srt

Op. 4: The program analyzes the audio and aligns the transcript fragments with the corresponding speech positions. When processing finishes, output.srt is created in the working folder.

Op. 5: Open output.srt in a text editor to review the generated start and end times for each text segment.

Op. 6: Load the SRT file with the original video when you need to review the transcript alongside the recording or make manual timing corrections.